diff --git a/examples/use_skeleton.cpp b/examples/use_skeleton.cpp
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+++ b/examples/use_skeleton.cpp
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+/*
+ #
+ #  File        : use_skeleton.cpp
+ #                ( C++ source file )
+ #
+ #  Description : Example of use for the CImg plugin 'plugins/skeleton.h'.
+ #                This file is a part of the CImg Library project.
+ #                ( http://cimg.eu )
+ #
+ #  Copyright   : Francois-Xavier Dupe
+ #                ( http://www.greyc.ensicaen.fr/~fdupe/ )
+ #
+ #  License     : CeCILL v2.0
+ #                ( http://www.cecill.info/licences/Licence_CeCILL_V2-en.html )
+ #
+ #  This software is governed by the CeCILL  license under French law and
+ #  abiding by the rules of distribution of free software.  You can  use,
+ #  modify and/ or redistribute the software under the terms of the CeCILL
+ #  license as circulated by CEA, CNRS and INRIA at the following URL
+ #  "http://www.cecill.info".
+ #
+ #  As a counterpart to the access to the source code and rights to copy,
+ #  modify and redistribute granted by the license, users are provided only
+ #  with a limited warranty  and the software's author,  the holder of the
+ #  economic rights,  and the successive licensors  have only  limited
+ #  liability.
+ #
+ #  In this respect, the user's attention is drawn to the risks associated
+ #  with loading,  using,  modifying and/or developing or reproducing the
+ #  software by the user in light of its specific status of free software,
+ #  that may mean  that it is complicated to manipulate,  and  that  also
+ #  therefore means  that it is reserved for developers  and  experienced
+ #  professionals having in-depth computer knowledge. Users are therefore
+ #  encouraged to load and test the software's suitability as regards their
+ #  requirements in conditions enabling the security of their systems and/or
+ #  data to be ensured and,  more generally, to use and operate it in the
+ #  same conditions as regards security.
+ #
+ #  The fact that you are presently reading this means that you have had
+ #  knowledge of the CeCILL license and that you accept its terms.
+ #
+*/
+
+#include <queue>
+#define cimg_plugin "plugins/skeleton.h"
+#include "CImg.h"
+using namespace cimg_library;
+#ifndef cimg_imagepath
+#define cimg_imagepath "img/"
+#endif
+
+// Main procedure
+//----------------
+int main (int argc, char **argv) {
+
+  cimg_usage("Compute the skeleton of a shape, using Hamilton-Jacobi equations");
+
+  // Read command line arguments
+  cimg_help("Input/Output options\n"
+            "--------------------");
+  const char* file_i = cimg_option("-i",cimg_imagepath "milla.bmp","Input (black&white) image");
+  const int median = cimg_option("-median",0,"Apply median filter");
+  const bool invert = cimg_option("-inv",false,"Invert image values");
+  const char* file_o = cimg_option("-o",(char*)0,"Output skeleton image");
+  const bool display = cimg_option("-visu",true,"Display results");
+
+  cimg_help("Skeleton computation parameters\n"
+            "-------------------------------");
+  const float thresh = cimg_option("-t",-0.3f,"Threshold");
+  const bool curve = cimg_option("-curve",false,"Create medial curve");
+
+  cimg_help("Torsello correction parameters\n"
+            "------------------------------");
+  const bool correction = cimg_option("-corr",false,"Torsello correction");
+  const float dlt1 = 2;
+  const float dlt2 = cimg_option("-dlt",1.0f,"Discrete step");
+
+  // Load the image (forcing it to be scalar with 2 values { 0,1 }).
+  CImg<unsigned int> image0(file_i), image = image0.get_norm().quantize(2).normalize(0.0f,1.0f).round();
+  if (median) image.blur_median(median);
+  if (invert) (image-=1)*=-1;
+  if (display) (image0.get_normalize(0,255),image.get_normalize(0,255)).display("Input image - Binary image");
+
+  // Compute distance map.
+  CImgList<float> visu;
+  CImg<float> distance = image.get_distance(0);
+  if (display) visu.insert(distance);
+
+  // Compute the gradient of the distance function, and the flux (divergence) of the gradient field.
+  const CImgList<float> grad = distance.get_gradient("xyz");
+  CImg<float> flux = image.get_flux(grad,1,1);
+  if (display) visu.insert(flux);
+
+  // Use the Torsello correction of the flux if necessary.
+  if (correction) {
+    CImg<float>
+      logdensity = image.get_logdensity(distance,grad,flux,dlt1),
+      nflux = image.get_corrected_flux(logdensity,grad,flux,dlt2);
+    if (display) visu.insert(logdensity).insert(nflux);
+    flux = nflux;
+  }
+
+  if (visu) {
+    cimglist_apply(visu,normalize)(0,255);
+    visu.display(visu.size()==2?"Distance function - Flux":"Distance function - Flux - Log-density - Corrected flux");
+  }
+
+  // Compute the skeleton
+  const CImg<unsigned int> skel = image.get_skeleton(flux,distance,curve,thresh);
+  if (display) {
+    (image0.resize(-100,-100,1,3)*=0.7f).get_shared_channel(1)|=skel*255.0;
+    image0.draw_image(0,0,0,0,image*255.0,0.5f).display("Image + Skeleton");
+  }
+
+  // Save output image if necessary.
+  if (file_o) skel.save(file_o);
+
+  return 0;
+}